Electrical submersible pump sizing recommendation engine with variable optimization considerations

Abstract

Aspects of the subject technology relate to systems, methods, and computer-readable media for building electrically submersible pump (ESP) systems. ESP systems include parts that must be compatible with a wellbore environment for them to operate as desired. Parts that operate well when pumping oil may not operate well when pumping geothermal water. Parts of an ESP system must be able to fit into the wellbore and operate according to the expectations of a wellbore operator. This means that parts used to build an ESP system must be selected such that the ESP system may be operated according to an operational plan. Once an ESP system is designed and built, it may be operated in a manner that is consistent with an operational plan. Techniques of the present disclosure include machine learning processes that identify how best to design, build, and operate an ESP system based on a set of characteristics.

What is claimed is: 
     
         1 . A method comprising:
 receiving input associated with an electrical submersible pump (ESP) system design, wherein the input identifies characteristics of a job where a selected ESP system will be deployed;   accessing wellbore data associated with operation of a plurality of different ESP system;   arranging the wellbore data associated with the operation of the plurality of different ESP systems into a plurality of datasets based on an application type and one or more of a reliability metric or a cost metric;   identifying one or more of the respective datasets of the plurality of datasets that correspond to the characteristics of the job, the application type, and the one or more of the reliability metric and the cost metric;   generating equipment listings of a plurality of different ESP systems for performing the job based on one or more respective datasets that correspond to the characteristics of the job, the application type, and the one or more of the reliability metric and the cost metric; and   presenting characteristics of the selected ESP system selected from the plurality of different ESP systems.   
     
     
         2 . The method of  claim 1 , further comprising:
 identifying ESP system components included in each respective ESP system of the plurality ESP systems based on an evaluation of the wellbore data; and   identifying at least one of the reliability metrics or the cost metrics associated with each of the respective ESP systems based on the evaluation of the wellbore data.   
     
     
         3 . The method of  claim 1 , wherein the reliability metric corresponds to at least one of a failure rate and a volume of production value. 
     
     
         4 . The method of  claim 1 , wherein the cost metric includes at least one of an operational return value, a running operational cost value, and a cost of repair value. 
     
     
         5 . The method of  claim 1 , further comprising:
 generating a score for each ESP system of the plurality of different ESP systems; and   identifying one or more ESP systems of the plurality of different ESP systems that have a score that at least meets an ESP system score threshold, wherein the selected ESP system is selected from the one or more identified ESP systems.   
     
     
         6 . The method of  claim 1 , wherein the characteristics of the job include:
 one or more requirements of components of the ESP system design,   an application type of a plurality of application types, and   a use case preference of a wellbore where the selected ESP system.   
     
     
         7 . The method of  claim 6 , wherein the use case preference prioritizes one or more of:
 production volume over operating cost,   the operating cost over the production volume,   the production volume over repair cost,   the repair cost over production the production volume,   a reliability metric over per-unit-time production volume, and   per-unit-time production volume over the reliability metric.   
     
     
         8 . The method of  claim 1 , wherein the characteristics of the selected ESP system include one or more of an operational voltage, an operational current, an operational power, body size of a pump of the ESP system, a pipe size of the pump, a volumetric pump rate of the pump, and a flow rate versus efficiency of the pump. 
     
     
         9 . An apparatus comprising:
 a memory; and   one or more processors that execute instructions out of the memory to:
 receive input associated with an electrical submersible pump (ESP) system design, wherein the input identifies characteristics of a job where a selected ESP system will be deployed; 
 access wellbore data associated with operation of a plurality of different ESP systems; 
 arrange the wellbore data associated with the operation of the plurality of different ESP systems into a plurality of datasets based on an application type and one or more of a reliability metric or a cost metric; 
 identify one or more of the respective datasets of the plurality of datasets that correspond to the characteristics of the job, the application type, and the one or more of the reliability metric and the cost metric; 
 generate equipment listings of a plurality of different ESP systems for performing the job based on one or more respective datasets that correspond to the characteristics of the job, the application type, and the one or more of the reliability metric and the cost metric; and 
 prepare to present characteristics of the selected ESP systems selected from the plurality of different ESP systems. 
   
     
     
         10 . The apparatus of  claim 9 , wherein the one or more processors execute the instructions out of the memory to:
 identify ESP system components included in each respective ESP system of the plurality ESP systems based on an evaluation of the wellbore data; and   identify the at least one of the reliability metric or the cost metric associated with each of the respective ESP systems based on the evaluation of the wellbore data.   
     
     
         11 . The apparatus of  claim 9 , wherein the reliability metric corresponds to at least one of a failure rate and a volume of production value. 
     
     
         12 . The apparatus of  claim 9 , wherein the cost metric includes at least one of an operational return value, a running operational cost value, and a cost of repair value. 
     
     
         13 . The apparatus of  claim 9 , wherein the one or more processors execute the instructions out of the memory to:
 generate a score for each ESP system of the plurality of different ESP systems; and   identifying one or more ESP systems of the plurality of different ESP systems that have a score that at least meets an ESP system score threshold, wherein the selected ESP system is selected from the one or more identified ESP systems.   
     
     
         14 . The apparatus of  claim 9 , wherein the characteristics of the job include:
 one or more requirements of components of the ESP system design,   an application type of a plurality of application types, and   a use case preference of a wellbore where the selected ESP system.   
     
     
         15 . A non-transitory computer-readable storage medium having embodied thereon instructions executable by one or more processors to:
 receive input associated with an electrically submersible pump (ESP) system design, wherein the input identifies characteristics of a job where a selected ESP system will be deployed;   access wellbore data associated with operation of a plurality of different ESP systems;   arrange the wellbore data associated with the operation of the plurality of different ESP systems into a plurality of datasets based on an application type and one or more of a reliability metric or a cost metric;   identify one or more of the respective datasets of the plurality of datasets that correspond to the characteristics of the job, the application type, and the one or more of the reliability metric and the cost metric;   generate equipment listings of a plurality of different ESP systems for performing the job based on one or more respective datasets that correspond to the characteristics of the job, the application type, and the one or more of the reliability metric and the cost metric; and   prepare characteristics of the selected ESP system selected from the plurality of different ESP systems for presentation.   
     
     
         16 . The non-transitory computer-readable storage medium of  claim 15 , wherein the one or more processors execute the instructions to:
 identify ESP system components included in each respective ESP system of the plurality ESP systems based on an evaluation of the wellbore data; and   identify the at least one of the reliability metric or the cost metric associated with each of the respective ESP systems based on the evaluation of the wellbore data.   
     
     
         17 . The non-transitory computer-readable storage medium of  claim 15 , wherein the reliability metric corresponds to at least one of a failure rate and a volume of production value. 
     
     
         18 . The non-transitory computer-readable storage medium of  claim 15 , wherein the cost metric includes at least one of an operational return value, a running operational cost value, and a cost of repair value. 
     
     
         19 . The non-transitory computer-readable storage medium of  claim 15 , wherein the one or more processors execute the instructions to:
 generate a score for each ESP system of the plurality of different ESP systems; and   identifying one or more ESP systems of the plurality of different ESP systems that have a score that at least meets an ESP system score threshold, wherein the selected ESP system is selected from the one or more identified ESP systems.   
     
     
         20 . The non-transitory computer-readable storage medium of  claim 15 , wherein the characteristics of the job include:
 one or more requirements of components of the ESP system design,   an application type of a plurality of application types, and   a use case preference of a wellbore where the selected ESP system.